ZK-GanDef: A GAN Based Zero Knowledge Adversarial Training Defense for Neural Networks
ZK-GanDef: A GAN Based Zero Knowledge Adversarial Training Defense for Neural Networks
Neural Network classifiers have been used successfully in a wide range of applications. However, their underlying assumption of attack free environment has been defied by adversarial examples. Researchers tried to develop defenses; however, existing approaches are still far from providing effective solutions to this evolving problem. In this paper, we …